title: Long-term, stable behavior of local field potentials during brain machine interface use.
abstract: Local field potentials (LFPs) have the potential to provide robust, long-lasting control signals for brain-machine interfaces (BMIs). Moreover, they have been hypothesized to be a stable signal source. Here we assess the long-term stability of LFPs and multi-unit spikes (MSPs) in two monkeys using both LFP-based and MSP-based, biomimetic BMIs to control a computer cursor. The monkeys demonstrated highly accurate performance using both the LFP- and MSP-based BMIs. This performance remained high for 11 and 6 months, respectively, without adapting or retraining. We evaluated the stability of the LFP features and MSPs themselves by building, in each session, linear decoders of the BMI-controlled cursor velocity using single features or single MSPs. We then used these single-feature decoders to decode BMI-controlled cursor velocity in the last session. Many of the LFP features and MSPs showed stably-high correlations with the cursor velocity over the entire study period. This implies that the monkeys were able to maintain a stable mapping between either motor cortical field potentials or multi-spike potentials and BMI-controlled outputs.
authors.forename: Michael R
authors.initials: MR
authors.lastname: Scheid
authors.forename: Robert D
authors.initials: RD
authors.lastname: Flint
authors.forename: Zachary A
authors.initials: ZA
authors.lastname: Wright
authors.forename: Marc W
authors.initials: MW
authors.lastname: Slutzky
mesh_terms: D000200:Action Potentials; D000818:Animals; D062207:Brain-Computer Interfaces; D006801:Humans; D008253:Macaca mulatta; D009044:Motor Cortex / Q000502:physiology; D012815:Signal Processing, Computer-Assisted